As a Data Engineer, you'll play a crucial role in building and managing data solutions that support analytics and reporting. This position is ideal for someone passionate about data architecture and cloud services.
In this role, you will be responsible for architecting, implementing, and managing data solutions that enhance reporting and analytics capabilities. Your work will involve creating Lakehouse and Data Warehouse solutions, which are essential for effective data management and analysis. You'll be working with Microsoft Fabric and Azure services to ensure that data is accessible and actionable for decision-makers.
Your day-to-day tasks will include designing data pipelines, managing data flows, and ensuring the integrity of data across various platforms. You will collaborate with other teams to understand their data needs and provide solutions that meet those requirements. This role is suited for someone who enjoys problem-solving and has a strong understanding of data architecture and cloud services.
Key responsibilities include: • Architecting and implementing Lakehouse and Data Warehouse solutions • Managing data pipelines and workflows • Collaborating with analytics teams to support reporting needs • Ensuring data quality and accessibility across platforms
To excel in this position, you should have a solid background in data engineering, particularly with Microsoft Fabric and Azure. Familiarity with dataflows, pipelines, and semantic models will be beneficial. If you're looking to work in an innovative environment that values data-driven decision-making, this could be the right opportunity for you.
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